Another common approach to reduce instabilities in neural network is adversarial training [1]}, which can be implemented by data augmentation [2]}, [3]}. The idea is to use equivariant transformations of \(A\)  to generate new data. Unfortunately, for ill-condition matrices, enlarging the dataset potentially increases the instability [4]}.
